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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Remote Data Analyst. Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) We're looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now.
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Experience with data visualization tools like Tableau, Superset, Power BI, or Looker. Proficiency in data analysis tools and languages such as Python, R, SQL, or similar. Data Visualization: Create visually compelling and easily understandable data visualizations, reports, and dashboards using tools like Tableau, Superset, Power BI, or similar.
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Storytelling: Craft narratives around data insights, making data relatable and actionable for non-technical stakeholders. If you're a Data Analyst who not only loves working with data but also has the soft skills to convey its meaning effectively, MainStreet is the ideal place for you to thrive.
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As a valued member in our data scientist team, you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.
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This role is part of our Cash App R&D team which sits within our Machine Learning and Data Science organization. Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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Working with at least one cloud based data warehousing platforms – Snowflake, AWS Redshift, Azure DW, Oracle Cloud, Google Big Query, or anything similar. The Data Operations Manager will also work closely with Engineering, Analytics and Product Management teams, in providing actionable insights and support for strategic initiatives along with building powerful tools for taxonomy administration.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Experience: PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Masters degree & 5+ years of directly related experience OR Bachelors degree & 7+ years of directly related experience.
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Substantial Experience in software development life cycle (SDLC) and data pipelines and job monitoring management/tools (AWS Glue, Airflow, Terraform, Kubernetes, CI/CD, PII/PHI protection and data masking, etc.
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Mar 27, 2024 - Wandb is hiring a remote Data Analyst. Basic knowledge of data orchestration / data pipeline tools (dbt, dagster, airflow, etc). Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.
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This role is responsible for designing, building, and maintaining data engineering architecture on the AWS cloud platform, with a strong focus on tools like Airflow and related cloud services through AWS. The ideal candidate will have a deep understanding of metadata-driven design approaches, strong software development skills using abstract class methodologies, and a passion for crafting scalable and efficient data pipelines.
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Design and build infrastructure for optimal extraction, transformation and loading of data from various data sources (e.g., AWS tooling, Databricks, DBT, Snowflake, Temporal, and SQL technologies.
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corona data jobs in San Francisco, CA
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